Instinct MI100 32GB PCIe

Specs, explained

Used for HPC and AI

1. 0132 GB of HBM2 memory

   VRAM

   32 GB

   Memory type

   HBM2

   Memory bandwidth

   1.2 TB/s

   HBM (High Bandwidth Memory) is stacked in layers and sits right next to the processor on the same package. That short, wide path is what gives accelerators with HBM their memory bandwidth, so they are usually chosen for work limited by how fast data reaches the cores, such as large-model inference and HPC simulation.

   VRAM is the working space on the card. Model weights, activations and datasets have to fit in it, or be split across several GPUs. Rule of thumb for the weights alone at 16-bit precision (about 2 GB per billion parameters): up to roughly 16 billion parameters, before activations and cache. This is arithmetic on the recorded VRAM, not a benchmark.

2. 02CDNA architecture

   Architecture

   CDNA

   Generation

   Instinct MI100

   Launch year

   2020

   Lifecycle status

   Legacy

   CDNA is AMD's compute-focused architecture for Instinct accelerators, separate from its RDNA graphics line. (General context about the architecture, not a statement about this specific card.)

   Launched in 2020. Kovara's records list it as a legacy part.

3. 03Form factor and power

   Form factor

   PCIe dual-slot FHFL

   TDP

   300 W

   PCIe cards slot into standard server and workstation expansion slots, which suits a wide range of systems.

   TDP is the rated thermal design power: the planning figure for power delivery and cooling in a server.

4. 04What it is used for

   Primary use (recorded)

   HPC / AI

   These are the uses Kovara has recorded for this part. The notes explain the workload in general terms; they are not performance claims.

   • HPCScientific and engineering simulation, where numerical precision and memory bandwidth matter.
   • AI

Figures are Kovara master data, last verified 03 Sept 2026. Explanations describe the technology in general; they are not benchmarks and say nothing about price or availability.